20250304
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4c41a2bd-7340-4a3b-9257-8d8615a20a09",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "eb9aa782-ce2c-4814-bdf6-92c7e892854d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-03-04T04:48:50.513279Z",
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"iopub.status.busy": "2025-03-04T04:48:50.512517Z",
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"iopub.status.idle": "2025-03-04T04:48:50.542095Z",
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"shell.execute_reply": "2025-03-04T04:48:50.541445Z",
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"shell.execute_reply.started": "2025-03-04T04:48:50.513207Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"49\n",
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"ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/海淀老干部局第一期.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(3, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = '第一期'\n",
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" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
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" dict1['id'] = sheet.cell(n, 5).value\n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,6).value) \n",
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" person[code] = dict1\n",
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"filename = 'data/海淀区老干部大学第一期.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person))\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "40f2c77d-1504-4288-9ed0-a0a4678579ee",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "4e0de75e-6957-434a-9591-da96c21f4659",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-03-03T07:21:43.877959Z",
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"iopub.status.busy": "2025-03-03T07:21:43.877156Z",
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"iopub.status.idle": "2025-03-03T07:21:43.888327Z",
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"shell.execute_reply": "2025-03-03T07:21:43.887102Z",
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"shell.execute_reply.started": "2025-03-03T07:21:43.877887Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/海淀区老干部大学第一期.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/card_海淀区老干部大学.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "26dbb945-2b62-4a46-9c72-aa321be7321d",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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